{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==", "__module__": "stable_baselines3.common.policies", "__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function ActorCriticPolicy.__init__ at 0x7fed0a5e70a0>", "_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7fed0a5e7130>", "reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7fed0a5e71c0>", "_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7fed0a5e7250>", "_build": "<function ActorCriticPolicy._build at 0x7fed0a5e72e0>", "forward": "<function ActorCriticPolicy.forward at 0x7fed0a5e7370>", "extract_features": "<function ActorCriticPolicy.extract_features at 0x7fed0a5e7400>", "_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7fed0a5e7490>", "_predict": "<function ActorCriticPolicy._predict at 0x7fed0a5e7520>", "evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7fed0a5e75b0>", "get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7fed0a5e7640>", "predict_values": "<function ActorCriticPolicy.predict_values at 0x7fed0a5e76d0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7fed0a5e9980>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu", "log_std_init": -2, "ortho_init": false, "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [28], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False False False\n False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-1. -1. -1. -1. -1. -1. -1. -1.]", "high": "[1. 1. 1. 1. 1. 1. 1. 1.]", "bounded_below": "[ True True True True True True True True]", "bounded_above": "[ True True True True True True True True]", "_np_random": null}, "n_envs": 4, "num_timesteps": 2000000, "_total_timesteps": 2000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1685487574575203321, "learning_rate": 0.00096, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_episode_num": 0, "use_sde": true, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 62500, "n_steps": 8, "gamma": 0.99, "gae_lambda": 0.9, "ent_coef": 0.0, "vf_coef": 0.4, "max_grad_norm": 0.5, "normalize_advantage": false, "system_info": {"OS": "Linux-5.10.16.3-microsoft-standard-WSL2-x86_64-with-glibc2.35 # 1 SMP Fri Apr 2 22:23:49 UTC 2021", "Python": "3.10.9", "Stable-Baselines3": "1.8.0a2", "PyTorch": "1.13.1+cu117", "GPU Enabled": "True", "Numpy": "1.23.5", "Gym": "0.21.0"}} |